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长春光学精密机械与物... [2]
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会议论文 [2]
发表日期
2011 [2]
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发表日期:2011
专题:长春光学精密机械与物理研究所
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The application of template matching arithmetic on Strap-down North Seeking System (EI CONFERENCE)
会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Li D.-N.
;
Zhu W.
;
Chen T.
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浏览/下载:13/0
  |  
提交时间:2013/03/25
In order to solve the problem of self-determination directional of theodolite
equipment based on dynamically tuned gyroscope is proposed. The principle of the Multi-position Strap-down North Seeking System is introduced. Mathematical model of the system is discussed. The factors that influence the precision are analyzed. In order to fit the curve of sampling data
back-propagation neural network arithmetic is used in data processing. As templates
curve model is saved at database of the VC software. The template matching arithmetic advanced the measure precision of this system. The measure time of the system is shortened within 1 minute
so it can save time for theodolite. 2011 IEEE.
Reality Sim: A realistic environment for robot simulation platform of humanoid robot (EI CONFERENCE)
会议论文
5th International Conference on Automation, Robotics and Applications, ICARA 2011, December 6, 2011 - December 8, 2011, Wellington, New zealand
Fu Y.
;
Moballegh H.
;
Rojas R.
;
Jin L.
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浏览/下载:25/0
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提交时间:2013/03/25
As a virtual training
testing and evaluating environment
simulation platform becomes a significant component in Soccer Robot project. Nevertheless
the simulated environment in a simulation platform usually has a big gap with the realistic world. In order to solve this issue
we demonstrate a more realistic simulation system which is called Reality Sim with numerous real images. By this system
the computer vision code could be easily tested on simulation platform. For this purpose
previously
an image database with a large quantity of images recorded by camera pose is built. Furthermore
if the camera pose of an image is not included in the database
an interpolation algorithm is used to reconstruct a brand-new realistic image of that pose such that a realistic image could be provided on every robot camera pose. Our results show this system effectively simulates a more realistic environment for simulation platform. 2011 IEEE.
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